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#SMX #33B2 @PronouncedAhndy
The Lowdown on
Google Customer
Match One Year
Later
#SMX #33B2 @PronouncedAhndy
About Me
#SMX #33B2 @PronouncedAhndy
About Me
#SMX #33B2 @PronouncedAhndy
AdWords remarketing lists made up
of email addresses loaded through
the AdWords UI, API, or third party
Customer Match Uploader
Customer Match: What is it?
#SMX #33B2 @PronouncedAhndy
Requirements:	
•  Advertiser	privacy	policy	must	disclose	that	customer	
information	is	shared	with	third	parties	
•  CM	audiences	must	be	made	up	of	at	least	1,000	
identifiable	emails	
•  CM	audiences	must	only	contain	emails	obtained	1st	hand	
by	the	advertiser	
Customer Match: What is it?
#SMX #33B2 @PronouncedAhndy
Customer Match vs RLSA
Customer Match for search is similar to
Google Remarketing Lists for Search Ads,
which target past visitors to an advertiser’s
site
- RLSA can only target users who have
visited a site in the last 180 days –
Customer Match has no limit
-  RLSA relies on remarketing tags rather
than emails to identify searchers
-  Customer Match and RLSA audiences
often overlap in who they target
Customer	Match	
RLSA
#SMX #33B2 @PronouncedAhndy
Customer Match Reaches High-Value Searchers
#SMX #33B2 @PronouncedAhndy
Customer match spend share across
Merkle advertisers actively deploying
these audiences
But…Customer Match Reaches Only a Small Share of
Searchers
~2%
#SMX #33B2 @PronouncedAhndy
But…Customer Match Reaches Only a Small Share of
Searchers
<0.5%
-
~10%
Range of Customer Match search spend
share for individual Merkle advertisers
actively deploying these audiences
By	comparison,	it’s	not	uncommon	for	RLSA	
to	account	for	20%+	of	a	brand’s	search	spend
#SMX #33B2 @PronouncedAhndy
Match Rates Vary by Email Domain
17%
46% 48%
90%
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
.edu Yahoo AOL Gmail
Match Rate by Email Domain
Sample Retailer
Some advertisers’ email lists skew
towards domains that are less
likely to get matched by Google
-  Brands that cater mostly to
college students
-  B2B advertisers (like Merkle)
-  Brands that serve older users
#SMX #33B2 @PronouncedAhndy
Differences in User Demographics by Email Domain
Source: http://www.statista.com/statistics/547531/e-mail-provider-ranking-consumer-usa-age/
#SMX #33B2 @PronouncedAhndy
Age of Email Impacts Match Rate
55%
90%
0%	
20%	
40%	
60%	
80%	
100%	
2013	 2014	
Gmail Match Rate by Order Year
Sample Retailer
While	Customer	Match	does	allow	
advertisers	to	reach	customers	
who	haven’t	interacted	for	a	longer	
time	period	than	with	RLSA,	the	
likelihood	of	emails	being	matched	
is	lower	for	older	emails
#SMX #33B2 @PronouncedAhndy
Opportunities for
Customer Match
Expansion
#SMX #33B2 @PronouncedAhndy
Customer Match Now for Google Shopping Too
Source: Merkle|RKG Digital Marketing Report, Q2 2016
#SMX #33B2 @PronouncedAhndy
Customer Match Now for Google Shopping Too
0%
50%
100%
150%
200%
250%
300%
CTR
 CR
 CPO
Baseline Shopping Campaigns
 CM IR Top 100 Retailer #1
 CM IR Top 100 Retailer #2
On Average, Customer Match Sees Double the CR at One Third of the Cost for Google PLA
#SMX #33B2 @PronouncedAhndy
Similar Audiences May Roll out to CM for Search
#SMX #33B2 @PronouncedAhndy
New Feature! CMU Data Append
New	feature	known	as	Data	Append	stands	to	help	advertisers	who	have	customer	phone	numbers/
physical	addresses	but	can’t	tie	them	to	email	addresses	by	allowing	Customer	Match	Uploader	
partners	to	match	those	users	to	email	addresses	and	upload	them	in	Customer	Match	lists
#SMX #33B2 @PronouncedAhndy
Customer Match
Strategies
#SMX #33B2 @PronouncedAhndy
Customer Match for GSP
#SMX #33B2 @PronouncedAhndy
Target Email List Unsubscribers
Very likely to click through to the
website after clicking on a GSP ad
Conversion rate is pretty ‘meh,’ but not
awful compared to other audiences
#SMX #33B2 @PronouncedAhndy
§ Customer	Match	is	great	for	
testing	
–  Easy	to	create	randomized	test	and	
control	groups	
–  Emails	can	be	used	with	backend	order	
information	to	determine	how	likely	
users	are	to	convert	with/without	the	
presence	of	paid	ads	
Brands Should Test the Real Value of Their Ads
Email	List	
Test	CM	
Turn	Ads	Off	
Control	CM	
Keep	Ads	Running	
Estimate	the	Impact	of	Paid	Ads	on	Order	
Volume	from	the	Customers
#SMX #33B2 @PronouncedAhndy
Depending	on	your	goals	and	
the	competitive	landscape	of	
the	search	results	on	your	
brand	keywords,	it	may	make	
sense	to	test	turning	ads	off	for	
Customer	Match	audiences	
Brands Should Test the Real Value of Their Ads
#SMX #33B2 @PronouncedAhndy
Match Rates Should be Factored Into Test Setups
41%
Share of orders from a test campaign
excluding all past online converters
with Customer Match lists that were
attributed to existing customers
#SMX #33B2 @PronouncedAhndy
Expand Keyword Lists
§ Advertisers	may	want	to	try	to	
expand	keywords	lists	to	include	
more	general	terms	targeting	only	
Customer	Match	lists	
–  However,	the	more	general	the	
keywords	and	further	away	from	the	
core	function	of	your	business	you	get,	
the	more	expensive	it	can	become
#SMX #33B2 @PronouncedAhndy
Adjust Ad Messaging
§ Advertisers	can	target	ad	copy	to	Customer	Match	audiences	in	order	
to:	
–  Upsell	–	Latest	model!	
–  Cross-sell	–	Get	an	extra	battery	for	that	phone!	
–  Call	out	product	attributes	relevant	to	specific	audiences	
•  Be	careful	not	to	assume	too	much	
Advertisers	can’t	know	if	differences	in	messaging	will	impact	performance	until	they	test
#SMX #33B2 @PronouncedAhndy
Ad Messaging Restrictions
Ads	cannot	mention	specific	types	of	
personal	information,	such	as	
knowledge	of	race,	political	affiliation,	
or	negative	financial	status
#SMX #33B2 @PronouncedAhndy
§ Customer	Match	is	currently	limited	in	reach	
§ There	are	some	updates	on	the	horizon	that	stand	to	increase	that	reach	
§ Customer	Match	audiences	can	currently	be	used	in	initiatives/strategies	
such	as	testing	incremental	value,	expanding	keyword	lists,	reconnecting	
with	email	list	unsubscribers,	and	ad	copy	testing	
§ This	is	only	the	beginning	
–  Ad	personalization	is	likely	to	continue	to	become	more	of	a	possibility,	so	advertisers	
should	take	advantage	of	Customer	Match	to	begin	testing	optimization	strategies	
	
Takeaways
#SMX #33B2 @PronouncedAhndy
Play in the Customer Match Sandbox
#SMX #33B2 @PronouncedAhndy
LEARN MORE: UPCOMING @SMX EVENTS
THANK YOU!
SEE YOU AT THE NEXT #SMX

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